research
∙
12/15/2022
BNSynth: Bounded Boolean Functional Synthesis
The automated synthesis of correct-by-construction Boolean functions fro...
share
research
∙
10/13/2022
Reliable quantum kernel classification using fewer circuit evaluations
Quantum kernel methods are a candidate for quantum speed-ups in supervis...
research
∙
05/31/2021
Rawlsian Fair Adaptation of Deep Learning Classifiers
Group-fairness in classification aims for equality of a predictive utili...
research
∙
05/26/2021
DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder
Accurate reconstruction of static environments from LiDAR scans of scene...
research
∙
05/17/2021
Learning a Latent Simplex in Input-Sparsity Time
We consider the problem of learning a latent k-vertex simplex K⊂ℝ^d, giv...
research
∙
12/08/2020
Algorithms for finding k in k-means
k-means Clustering requires as input the exact value of k, the number of...
research
∙
03/30/2020
On the Unreasonable Effectiveness of Knowledge Distillation: Analysis in the Kernel Regime
Knowledge distillation (KD), i.e. one classifier being trained on the ou...
research
∙
04/14/2019
Finding a latent k-simplex in O(k . nnz(data)) time via Subset Smoothing
The core problem in many Latent Variable Models, widely used in Unsuperv...
research
∙
12/11/2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Distantly-supervised Relation Extraction (RE) methods train an extractor...
research
∙
11/06/2018
How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?
We consider the problem of optimal recovery of true ranking of n items f...
research
∙
09/12/2018
Graph Convolutional Networks based Word Embeddings
Recently, word embeddings have been widely adopted across several NLP ap...
research
∙
06/12/2018
Using Inherent Structures to design Lean 2-layer RBMs
Understanding the representational power of Restricted Boltzmann Machine...
research
∙
10/26/2014
A provable SVD-based algorithm for learning topics in dominant admixture corpus
Topic models, such as Latent Dirichlet Allocation (LDA), posit that docu...
research
∙
10/13/2014
Mining Block I/O Traces for Cache Preloading with Sparse Temporal Non-parametric Mixture of Multivariate Poisson
Existing caching strategies, in the storage domain, though well suited t...
research
∙
09/22/2014
